Piyush G

Senior Software Engineer

Infosys • Temps plein

Aug 2023 - Present • 2 yrs 9 mos

Designed and built an AI-assisted, Elasticsearch-based search platform from scratch with a generic advanced query builder supporting hard/soft/range filters, significantly reducing manual ES query authoring effort across the team. • Implemented backend-driven, fully configurable filters (non-dynamic + saved searches) allowing recruiters to persist and resume complex search flows, enhancing workflow continuity and overall recruiter productivity. • Leveraged prompt engineering and context management to abstract raw Elasticsearch DSL complexity—new filters can be added or removed via standardized prompts, enabling even non-Elasticsearch experts to safely extend search capabilities. • Developed a Candidate Manager funnel view with filtered aggregation facets, where each filter dynamically recomputes option counts based on other selections, enabling precise end-to-end hiring pipeline tracking while optimizing query performance and bandwidth usage. • Migrated a legacy chat UI tool used by multiple InfoEdge verticals to a Dockerized architecture, configured Dockerfiles and Docker Compose, and deployed in a production environment to enable centralized usage and improve business performance. • Architected and implemented a dynamic, fault-tolerant Airflow pipeline to compute weighted, category-specific profile scores for 400K+ DAUs, leveraging ClickHouse for OLAP processing and S3 for stateful recovery